September 1, 2025 Recent News:
Due to systematic OpenReview issues, we are extending the deadline to September 2, 2025 AOE. We have messaged OpenReview to ask them when it can be brought back online.
Time-series data underpin modern healthcare, spanning electronic health records, physiological waveforms, wearables, and population trends, yet their unique characteristics—including uncertain ground truth, quasi-periodic physiological motifs, and non-semantic timepoints—demand specialized machine learning approaches. While recent advances in foundation models, multimodal learning, and generative methods show promise, significant challenges remain in causality, interpretability, and deployment.
Our TS4H workshop unites researchers across health time-series domains (from wearables to clinical systems) to address shared challenges through: (1) cross-domain discussion, (2) diverse industry/academic perspectives (featuring Google, Oura, Apple and 5 institutions), and (3) community engagement via posters, talks, and panels. By fostering cross-domain collaboration on physiological-aware methods, we aim to bridge the gap between cutting-edge ML and real-world healthcare impact.
We invite you to submit your work on Time-series 4 Health by August 22, 2025 September 1, 2025 (AOE).
To recognize an outstanding contribution, we are pleased to offer a $500 Best Paper Prize🏆 sponsored independently by Google and Apple
View Call for Papers
